PMID- 33316491
OWN - NLM
STAT- MEDLINE
DCOM- 20210106
LR  - 20210106
IS  - 1873-6424 (Electronic)
IS  - 0269-7491 (Linking)
VI  - 269
DP  - 2021 Jan 15
TI  - The associations of multiple metals mixture with accelerated DNA methylation 
      aging.
PG  - 116230
LID - S0269-7491(20)36919-0 [pii]
LID - 10.1016/j.envpol.2020.116230 [doi]
AB  - Aging is a leading cause of mortality for the elderly and DNA methylation age is 
      reported to be predictive of biological aging. However, few studies have 
      investigated the associations between multiple metals exposure and accelerated 
      aging in the elderly. We performed a pilot study of 288 elderly participants aged 
      50-115 years and measured genome-wide DNA methylation and 22 blood metals 
      concentrations. Measures of DNA methylation age were estimated using CpGs from 
      Illumina HumanMethylation EPIC BeadChip. Linear mixed regression and Bayesian 
      kernel machine regression (BKMR) models were used to estimate the individual and 
      overall associations between multiple metals and accelerated methylation aging. 
      Single metal models revealed that each 1-standard deviance (SD) increase in 
      log-transformed vanadium, cobalt, nickel, zinc, arsenic, and barium was 
      associated with a -2.256, -1.318, 1.004, -1.926, 1.910 and -1.356 changes in 
      DeltaAge, respectively; meanwhile, for aging rate, the change was -0.019, -0.013, 
      0.010, -0.018, 0.023, and -0.012, respectively (all P < 0.05). The BKMR models 
      showed reverse U-shaped associations of the overall metals mixture with DeltaAge and 
      aging rate. Downward trends of DeltaAge and aging rate were observed for increasing 
      quantiles of essential metals mixture, but upward trends were observed for 
      non-essential metals mixture. Further individual analysis of the BKMR revealed 
      that the 95% confidence interval of DeltaAge and aging rate associated with vanadium, 
      zinc, and arsenic did not cross 0, when other metals concentrations set at 25th, 
      50th, and 75th percentile. Our findings suggest reverse U-shaped associations of 
      the overall metals mixture with accelerated methylation aging for the first time, 
      and vanadium, zinc, and arsenic may be major contributors driving the 
      associations.
CI  - Copyright (c) 2020 Elsevier Ltd. All rights reserved.
FAU - Xiao, Lili
AU  - Xiao L
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Zan, Gaohui
AU  - Zan G
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Feng, Xiuming
AU  - Feng X
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Bao, Yu
AU  - Bao Y
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Huang, Sifang
AU  - Huang S
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Luo, Xiaoyu
AU  - Luo X
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Xu, Xia
AU  - Xu X
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China.
FAU - Zhang, Zhiyong
AU  - Zhang Z
AD  - School of Public Health, Guilin Medical University, Guilin, Guangxi, China.
FAU - Yang, Xiaobo
AU  - Yang X
AD  - Department of Occupational Health and Environmental Health, School of Public 
      Health, Guangxi Medical University, Nanning, Guangxi, China; Department of Public 
      Health, School of Medicine, Guangxi University of Science and Technology, 
      Liuzhou, Guangxi, China. Electronic address: yangx@gxmu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20201205
PL  - England
TA  - Environ Pollut
JT  - Environmental pollution (Barking, Essex : 1987)
JID - 8804476
RN  - 0 (Metals)
SB  - IM
MH  - Aged
MH  - Aged, 80 and over
MH  - *Aging
MH  - Bayes Theorem
MH  - *DNA Methylation
MH  - Humans
MH  - Metals
MH  - Middle Aged
MH  - Pilot Projects
OTO - NOTNLM
OT  - DNA methylation aging
OT  - Metals mixture
OT  - The BKMR
OT  - The elderly
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2020/12/15 06:00
MHDA- 2021/01/07 06:00
CRDT- 2020/12/14 20:10
PHST- 2020/08/09 00:00 [received]
PHST- 2020/10/29 00:00 [revised]
PHST- 2020/12/03 00:00 [accepted]
PHST- 2020/12/15 06:00 [pubmed]
PHST- 2021/01/07 06:00 [medline]
PHST- 2020/12/14 20:10 [entrez]
AID - S0269-7491(20)36919-0 [pii]
AID - 10.1016/j.envpol.2020.116230 [doi]
PST - ppublish
SO  - Environ Pollut. 2021 Jan 15;269:116230. doi: 10.1016/j.envpol.2020.116230. Epub 
      2020 Dec 5.